I want to pause on that for a moment, because it’s important. Composition lets us combine primitive CRDTs into more complex ones. When it’s time to merge, all the parent does is pass slices of incoming state to the appropriate child’s merge function. We can nest this process as many times as we want; each complex CRDT passing ever-smaller slices of state down to the next level, until we finally hit a primitive CRDT that performs the actual merge.
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Here is where computer science and neuroscience perfectly collided. In the 80s, AI engineers invented a Reinforcement Learning algorithm called Temporal Difference (TD) Learning to train software agents [4]. A decade later, neuroscientists measuring monkey brains realized that dopamine neurons fire in a pattern that perfectly matches the TD Error equation [5].
https://truthsocial.com/@realDonaldTrump/posts/116144552969293195
«Финальным "советом" мошенников стала просьба прокипятить телефон в воде с солью, чтобы удалить вредоносную программу», — рассказали в пресс-службе. Уточняется, что против мошенников было заведено уголовное дело.